Hi, I am

Tarlan Suleymanov

Senior Software Engineer - University of Oxford

Work experience

2016 – 2021,Co-chairman – Azerbaijan Science Association

 Creating and maintaining links with all stakeholders and parties interested in science and education.

 Organising scientific forums, conferences,seminars and other scientific activities.

2017, Teaching Assistant – University of Oxford

Teaching Mobile Robotics at the CDT in Autonomous Intelligent Machines and Systems

 2016 – 2017, IT Officer, Oxford University Turkish Society

2016 – present, Conference Paper Reviewer – IEEE

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems

2018 IEEE Intelligent Transportation Systems Conference

2019 IEEE Intelligent Vehicles Symposium

2020 IEEE International Conference on Robotics and Automation

2020 IEEE Intelligent Vehicles Symposium

2021 IEEE Intelligent Vehicles Symposium

2012 – 2015, Vice-President and IT Manager – Sheffield Azerbaijan Society

2014,Volunteer – Sheffield Centre for Robotics (Summer Internship)

Setting up new robots

identifying their capabilities and limitations

 implementing example projects and documenting rules of use

 2014,Teacher of Azerbaijani Language – Sheffield Students’ Union

2013,Programmer – Central Bank of the Republic of Azerbaijan (Summer Internship)

Web and application development

2018 – present, Senior Engineer (Semantic Classification) - Oxa (previously Oxbotica)

Developing cutting-edge perception models and pipelines critical for enhancing Oxa's autonomous driving capabilities.

Leveraging advanced machine learning techniques and computer vision algorithms to craft and deploy robust solutions for real-time detection and offline mapping of semantic objects in complex urban environments.

Continuously enhancing object detection model accuracy and efficiency through techniques such as data augmentation, transfer learning, and fine-tuning

Education

2015 – 2019, University of Oxford, UK - DPhil, Engineering Science, Oxford Robotics Institute

2017,Australian Centre for Robotic Vision, Australia - Robotic Vision Summer School

2011 – 2015,University of Sheffield, UK - MComp, Computer Science – 1st class degree

Software and web development

3D computer graphics and robotics.

The dissertation project, Navigation in a Mobile Environment, involved an autonomous system design by implementing obstacle detection and avoidance, stereo vision, image processing and autonomous navigation.

2010 – 2011,Qafqaz University, Azerbaijan - BA, Computer Engineering – score of 99%

Awards

2018-2019, Oxford Robotics Institute Scholarship

2011-2015 and 2015-2018, State Scholarship to study abroad

2015, Sheffield Graduate Award for extra-curricular achievements

2015, Skills for Success Programme for extra-curricular achievements

2014, Most Innovative Project award for the dissertation project

2013, Best Proposal Award at Engineering: You’re Hired Week

2011, Departmental Scholarship for becoming the top student in the department

2010-2011, Presidential Scholarship for coming third in the National University Entrance Examination

Publications

T. Suleymanov, M. Gadd, D. De Martini, P. Newman, "The Oxford Road Boundaries Dataset", in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Workshop on 3D-Deep Learning for Automated Driving (3D-DLAD), Nagoya, Japan, July 2021.

T. Suleymanov, M. Gadd, L. Kunze, and P. Newman, “LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic,” in IEEE/ION Position, Location and Navigation Symposium

(PLANS), Portland, OR, USA, 2020.

T. Suleymanov, “Route boundary inference with vision and LiDAR,” PhD Thesis, Oxford, United Kingdom, 2019.

T. Suleymanov, L. Kunze, and P. Newman, “Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR,” in IEEE International Conference on Intelligent

Transportation Systems (ITSC), Auckland, New Zealand, 2019.

T. Suleymanov, P. Amayo, and P. Newman, “Inferring Road Boundaries Through and Despite Traffic,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.

Reconstruction from Partially Segmented Scenes,” in IEEE International Conference on Intelligent.Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.

T. Suleymanov, L. M. Paz, P. Piniés, G. Hester, and P. Newman, “The Path Less Taken: A Fast

Variational Approach for Scene Segmentation Used for Closed Loop Control,” in IEEE/RSJ

International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.

L. M. Paz, T. Suleymanov, P. Piniés, G. Hester, and P. Newman, “On-line Scene Understanding for Closed Loop Control,” in Robotics: Science and Systems, Workshop on Geometry and Beyond: Representations, Physics, and Scene Understanding for Robotics, 2016

Technical skills

Machine Learning

 Computer Vision

 Robotics, C, C++, Python, Tensorflow, PyTorch, MATLAB,Java, Objective-C, Haskell, Prolog, HTML, CSS, PHP, MySQL, JavaScript, Ruby, MS Office,Adobe Photoshop, Windows, Mac OS, Linux.

Language skills

Azerbaijani (native)

English

Turkish 

Russian (proficient)